Build A Secure Ci Cd Pipeline For Amazon Eks Using Github Actions And

In this guide, I’ll show you how to build a secure AWS EKS(Kubernetes) CI/CD pipeline for your FastAPI app complete with GitHub Actions, Docker, and OpenID Connect (OIDC) all while following AWS security best... We won’t obsess over every detail of FastAPI or Docker, but we’ll cover enough to get your application running on EKS with confidence. Note: The primary focus of this blog is on CI/CD processes and AWS configuration, so we won’t dive too deeply into FastAPI or Docker fundamentals. Managing Kubernetes on AWS via EKS is a great approach, but configuring secure access for CI/CD can be tricky. With OIDC, GitHub Actions can assume roles in AWS without storing secret keys, so no static credentials, Let’s walk through setting up an EKS cluster, creating an ECR repo, and configuring GitHub Actions to... Create (or use) a repository that holds your FastAPI app and Kubernetes manifests:

Keep your code organized. The .yaml files will be applied to EKS to deploy the FastAPI service. In this blog post, we will explore how to simplify Amazon EKS deployments with GitHub Actions and AWS CodeBuild. In today’s fast-paced digital landscape, organizations are turning to DevOps practices to drive innovation and streamline their software development and infrastructure management processes. One key practice within DevOps is Continuous Integration and Continuous Delivery (CI/CD), which automates deployment activities to reduce the time it takes to release new software updates. AWS offers a suite of native tools to support CI/CD, but also allows for flexibility and customization through integration with third-party tools.

Throughout this post, you will learn how to use GitHub Actions to create a CI/CD workflow with AWS CodeBuild and AWS CodePipeline. You’ll leverage the capabilities of GitHub Actions from a vast selection of pre-written actions in the GitHub Marketplace to build and deploy a Python application to an Amazon Elastic Kubernetes Service (EKS) cluster. GitHub Actions is a powerful feature on GitHub’s development platform that enables you to automate your software development workflows directly within your repository. With Actions, you can write individual tasks to build, test, package, release, or deploy your code, and then combine them into custom workflows to streamline your development process. This solution being proposed in this post uses several AWS developer tools to establish a CI/CD pipeline while ensuring a streamlined path from development to deployment: Figure 1 Workflow architecture showing source, build, test, approval and deployment stages

The repository is structured for modularity and maintainability: This project has been enhanced with the following improvements: Before you proceed, ensure you have the following installed: The CI/CD pipeline automates the entire deployment process using GitHub Actions. This project supports multiple deployment strategies: This article has two parts.

In the first part, we will create a Continous Integration (CI) pipeline using GitHub actions whereas, in the second part, we will look into using ArgoCD to deploy our applications automatically in Kubernetes. Check out the earlier articles in this series if you are interested: How to set up an AWS EKS cluster with the AWS Load Balancer Controller using Pulumi How to build and deploy a Python application on EKS using Pulumi We cover both of these steps in the previous articles linked above. In this guide, I’ll show you how to build a secure AWS EKS(Kubernetes) CI/CD pipeline for your FastAPI app complete with GitHub Actions, Docker, and OpenID Connect (OIDC) all while following AWS security best...

We won’t obsess over every detail of FastAPI or Docker, but we’ll cover enough to get your application running on EKS with confidence. Note: The primary focus of this blog is on CI/CD processes and AWS configuration, so we won’t dive too deeply into FastAPI or Docker fundamentals. Managing Kubernetes on AWS via EKS is a great approach, but configuring secure access for CI/CD can be tricky. With OIDC, GitHub Actions can assume roles in AWS without storing secret keys, so no static credentials, Let’s walk through setting up an EKS cluster, creating an ECR repo, and configuring GitHub Actions to... Create (or use) a repository that holds your FastAPI app and Kubernetes manifests: Keep your code organized.

The .yaml files will be applied to EKS to deploy the FastAPI service. Deploying applications to Amazon EKS across multiple environments like Dev, Test, Pre-Prod, and Prod requires a robust CI/CD pipeline to ensure reliability, security, and scalability. This blog details how to implement a CI/CD pipeline using Jenkins and GitHub Actions with industry best practices. The pipeline will include scanning, testing, and approval gates for deploying to EKS clusters in a secure and efficient manner. The CI/CD pipeline consists of the following stages: ## Implementation Details Image Tagging: Use Git SHA or build numbers for Docker image tags to uniquely identify each build.

Manual Approvals: GitHub Actions requires workflow input for approvals before deploying to higher environments. Jenkins pipelines use the input stage for manual gating. Kubernetes Configurations: Use ConfigMaps for environment-specific settings. Use kubectl to set the image in deployments dynamically for respective namespaces. Security Scanning: Use SonarCloud for static code analysis in GitHub Actions. Use Trivy for container image vulnerability scanning in both GitHub Actions and Jenkins.

Monitoring: Integrate Prometheus and Grafana to monitor deployed applications and provide visibility into the pipeline's health. For testing purposes, you can use a simple Python Flask application. Add the following app.py: This blog covered how to build a CI/CD pipeline to deploy applications to Amazon EKS using Jenkins and GitHub Actions. By following these best practices, you can ensure your pipeline is secure, efficient, and scalable. Implementing scanning, automated tests, and monitoring guarantees a reliable and robust deployment process.

This project demonstrates a complete DevOps workflow for deploying a containerized Python microservice to an Amazon EKS (Elastic Kubernetes Service) cluster using: It reflects the kind of production-grade workflow expected from AWS DevOps engineers focused on scalable, reproducible, and automated infrastructure and application deployment eks-cicd-pipeline/ ├── app/ # Python Flask microservice ├── helm/ # Helm chart for Kubernetes deployment ├── terraform/ # Terraform to provision AWS EKS ├── .github/workflows/ # GitHub Actions CI/CD workflow ├── README.md

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